FY505: Physical mathematics (5 ECTS)

STADS: 7000501

Level
Bachelor course

Teaching period
The course is offered in the autumn semester.
2nd quarter.

Teacher responsible
Email: paolo.sibani@ifk.sdu.dk

Additional teachers
jbp@ifk.sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Comment:
14.11.2006: S2 nedlagt
03.11.2006: Ny forelæsning mandag uge 45!

Prerequisites:
None

Academic preconditions:
FY501, FY502, MM501 and MM502 must be passed.

Course introduction
To introduce the students to fundamental concepts of linear algebra and to show how to use them in modelling selected physical systems.

Qualifications
General qualifications: ability to use fundamental techniques and principles in linear algebra and numeric software for solving dynamic problems, e.g. coupled linear differential equations and boundary value problems in simple geometries. Personal qualifications: the ability of collaborate with others, to use abstract ideas in a specific connection, and to present the results in a well-planned and convincing way.

Expected learning outcome


Subject overview
The course consists of two parts of 5 ECTS points each. It is offered jointly by IFK and IMADA.

1. week: Introduction and problem formulation by IFK
2.-4. week: Mathematics - IMADA
5.-7. week: Numeric project work – IFK

Physics subject:
1. Linearisation as a physical modelling tool.
2. Coupled ordinary differential equations and normal modes.
3. Partial differential equations (diffusion equation, Schrödinger’s equation) in simple geometries.
4. Fourier transformation as a tool for data analysis and as a solving technique.

Mathemical subject:
1. Basic theory of linear vector spaces: vectors, linear independence, basis, dimension, the Euclidean vector spaces Rn and Cn. E.g. vector spaces of functions: Fourier series.
2. Linear mappings between vector spaces: rank and kernel, matrix representation, eigenvalues and eigenvectors, diagonalisation of symmetric (or hermitic) n x n matrix, solution of boundary value problems by expansion in eigenfunctions.

Projects:
The project is based on physical models and is solved by using software packages e.g. Maple or Matlab. The results must be presented in a report written using LaTeX.

Literature

• Erwin Kreyszig: Advanced Engineering Mathematics, Wiley.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
1 project report. Internal examination by lecturer. Marks according to the 13-scale.

Expected working hours
The teaching method is based on three phase model.

Ved Institut for Matematik og Datalogi:
Forelæsninger 12 timer
Eksaminatorier 12 timer

Ved Fysisk Institut:
Forelæsninger 4 timer
Lab.øvelser 24 timer
Educational activities

Language
No recorded information about the language used in the course.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.